What message appeal and messenger are most persuasive for COVID-19 vaccine uptake: Results from a 5-country survey in India, Indonesia, Kenya, Nigeria, and Ukraine

The nurse's role in a patient-centered approach for reducing COVID-19 vaccine hesitancy during pregnancy: An American Academy of Nursing consensus paper

The evidence shows that COVID-19 vaccines can reduce the risks of poor pregnancy outcomes. Yet, reluctance to vaccinate remains high in pregnant populations. In this paper, we take a precision health and patient-centered approach to vaccine hesitancy. We adopted the society-to-cells vaccine hesitancy framework to identify society, community, family, individual, and physiologic factors contributing to COVID-19 vaccine hesitancy in pregnancy. Nurses are particularly well-suited to impact the factors associated with vaccine hesitancy. Because of their proximity to the patient, nurses are positioned to provide individualized, timely health information, and clinical guidelines to assist patients with decision-making related to vaccinations. Recommendations are provided to bolster nurses' engagement in precision health and patient-centered models of care to mitigate COVID-19 vaccine hesitancy in pregnancy.

Individual and social determinants of COVID-19 vaccine hesitancy and uptake in Northwest Syria

INTRODUCTION

The COVID-19 outbreak devastated the fragmented health system in Syria, a war-torn country, and exaggerated the demands for humanitarian assistance. COVID-19 vaccination was rolled out in Northwest Syria, an area out of government control, in May 2021. However, vaccine acceptance rates are still minimal, which is reflected in the meager percentage of vaccinated people. The study aims to investigate the effectiveness of the humanitarian actors' plans to address the COVID-19 vaccine hesitancy and conclude practical strategies for boosting vaccine uptake in Northwest Syria.

METHODS AND MATERIALS

Two questionnaires were developed to collect data from humanitarian organizations involved in the COVID-19 vaccination campaign and people from northwest Syria. Data analysis was performed using SPSS 22 data analysis program.

RESULTS

According to the findings, 55.5% of people refused the COVID-19 vaccine. The results showed a knowledge gap and lack of evidence regarding humanitarian actors' strategies to address the vaccine's low uptake. Besides, it was found that doctors and medical workers were reliable sources of information about the vaccine. However, they were not systematically engaged in community mobilization and risk communication to promote people's perspectives on the vaccine.

CONCLUSION

Risk communication and community engagement programs were not significantly associated with increasing the COVID-19 acceptance rate. Humanitarian actors must reconsider their strategies to address vaccine hesitancy in Northwest Syria. These strategies should engage medical professionals through dialogue sessions on the realities of the pandemic and vaccine development mechanism based on a compelling and evidence-based approach.

Lay beliefs of COVID-19 vaccine refusal among intercity commercial drivers in the Volta region of Ghana: recommendations for improved vaccine uptake

BACKGROUND

The COVID-19 vaccine has faced increased hesitancy in Ghana and the Volta region in particular since its rollout. Acceptance of the vaccine among intercity commercial drivers is crucial, especially in the Volta region, as they transport people within and outside the country and could fuel the transmission of the virus if not vaccinated.

OBJECTIVE

We therefore established lay beliefs surrounding COVID-19 vaccine refusal among intercity commercial drivers in the Volta region of Ghana, as well as their recommendations for improved vaccine uptake.

METHODS

We purposively interviewed twenty-five (25) intercity commercial drivers who had not been vaccinated for COVID-19 in the Volta region of Ghana using a semi-structured interview guide and analysed their responses thematically using the ATLAS.ti software.

RESULTS

Various (ten) beliefs surrounding COVID-19 vaccine refusal were identified. These include the nonexistence of COVID-19, being immune to COVID-19, and the belief in the nonexistence of vaccines and vaccines being meant for the sick. Other beliefs identified were the belief that the COVID-19 vaccine is meant to reduce Africa's population, that the vaccine triggers other health complications leading to death, the belief that vaccination could cause financial loss, political mistrust, that the COVID-19 vaccine is not permitted by God, and the belief that prayer prevents COVID-19 infection. They also suggested that the adoption of persuasive communication techniques, the publication of information on those who died of COVID-19, providing evidence of tests conducted on the vaccine, testing people before vaccination, provision of care to those who may experience side effects from the vaccine, and being able to explain why varied vaccines are used for the same virus could help improve vaccine uptake.

CONCLUSION

Our findings show that there is a general lack of understanding and mistrust surrounding the COVID-19 vaccine among intercity commercial drivers in the Volta region. Hence, health promotion officers and communicators in the region need to be knowledgeable on the vaccine as well as on the conspiracy theories thwarting its uptake to provide comprehensive education to the public and intercity commercial drivers to improve its uptake.

Exploring COVID-19 vaccine hesitancy and uptake in Nairobi's urban informal settlements: an unsupervised machine learning analysis of a longitudinal prospective cohort study from 2021 to 2022

OBJECTIVES

To illustrate the utility of unsupervised machine learning compared with traditional methods of analysis by identifying archetypes within the population that may be more or less likely to get the COVID-19 vaccine.

DESIGN

A longitudinal prospective cohort study (n=2009 households) with recurring phone surveys from 2020 to 2022 to assess COVID-19 knowledge, attitudes and practices. Vaccine questions were added in 2021 (n=1117) and 2022 (n=1121) rounds.

SETTING

Five informal settlements in Nairobi, Kenya.

PARTICIPANTS

Individuals from 2009 households included.

OUTCOME MEASURES AND ANALYSIS

Respondents were asked about COVID-19 vaccine acceptance (February 2021) and vaccine uptake (March 2022). Three distinct clusters were estimated using K-Means clustering and analysed against vaccine acceptance and vaccine uptake outcomes using regression forest analysis.

RESULTS

Despite higher educational attainment and fewer concerns regarding the pandemic, young adults (cluster 3) were less likely to intend to get the vaccine compared with cluster 1 (41.5% vs 55.3%, respectively; p<0.01). Despite believing certain COVID-19 myths, older adults with larger households and more fears regarding economic impacts of the pandemic (cluster 1) were more likely to ultimately to get vaccinated than cluster 3 (78% vs 66.4%; p<0.01), potentially due to employment requirements. Middle-aged women who are married or divorced and reported higher risk of gender-based violence in the home (cluster 2) were more likely than young adults (cluster 3) to report wanting to get the vaccine (50.5% vs 41.5%; p=0.014) but not more likely to have gotten it (69.3% vs 66.4%; p=0.41), indicating potential gaps in access and broader need for social support for this group.

CONCLUSIONS

Findings suggest this methodology can be a useful tool to characterise populations, with utility for improving targeted policy, programmes and behavioural messaging to promote uptake of healthy behaviours and ensure equitable distribution of prevention measures.

Measuring the importance of influencing factor for COVID-19 vaccination intention in China

Background

Vaccination is considered an effective approach to deter the spread of coronavirus disease (COVID-19). However, vaccine hesitancy is a common issue that makes immunization programs more challenging. To promote vaccination in a targeted and efficient way, this study aims to develop and validate a measurement tool for evaluating the importance of influencing factors related to COVID-19 vaccination intention in China, and to examine the demographic differences.

Methods

In study 1, we developed a Factor Importance Evaluation Questionnaire (FIEQ) based on semi-structured interview results and used exploratory factor analysis (EFA) to explore its factor structure. In study 2, we verified the four-factor structure of FIEQ by confirmatory factor analysis (CFA). We then administered FIEQ to Chinese participants and conducted a student t-test and analysis of variance to examine the differences in the importance evaluation of factors based on gender and educational level.

Results

In study 1, we developed a four-factor construct and retained 20 items after EFA (N = 577), with acceptable reliability (alpha = 0.87) and validity. In study 2, we found that the model fit was good (χ2 = 748.03 (162), p < 0.001, GFI = 0.949, RMSEA = 0.049, SRMR = 0.048, AGFI = 0.934), and reliability was acceptable (alpha = 0.730) (N = 1,496). No gender difference was found in factor importance. However, individuals with different educational levels reported significantly different importance evaluations of three factors, including perceived benefits and social norms (F = 3.786, p = 0.005), perceived influences from reference groups (F = 17.449, p < 0.001), and perceived risks (F = 2.508, p = 0.04).

Conclusion

This study developed and validated FIEQ for measuring the importance of influencing factors related to the COVID-19 vaccination intention in Chinese participants. Moreover, our findings suggest that the educational level may play a role in how individuals evaluate the importance of factors. This study provides insights into the concerns that individuals have regarding vaccination and offers potentially effective and targeted strategies for promoting COVID-19 vaccination.

A Comparison of Strategies to Improve Uptake of COVID-19 Vaccine among High-Risk Adults in Nairobi, Kenya in 2022

BACKGROUND

COVID-19 vaccine uptake in Kenya is still low compared to other countries, especially in Europe and North America. In most parts of the country, a large percentage of the Kenyan population remains unvaccinated. As of October 2022, the Ministry of Health (Kenya) estimates that only 36.2% of the adult population had been fully vaccinated.

METHODS

We conducted an experimental study in April 2022 targeting unvaccinated adults who had a history of hypertension and/or diabetes and those in the 60+ age group. We tested various messaging approaches using two different intervention channels.

RESULTS

Although the overall rate of vaccinated individuals according to national records is low, responses from the study group collected through phone call conversations show that higher-risk adults such as those older than 60 or those with chronic illnesses have a remarkably high vaccination rate of 89%. After the study, four participants received a COVID-19 vaccine within 1 month of the intervention. These four participants all received a loss-messaging intervention approach during the study.

CONCLUSION

This study supports a national approach to increasing COVID-19 vaccination rates using loss-messaging directed at unvaccinated, high-risk individuals.

"I was having an internal conflict with myself." COVID-19 vaccination decision-making processes among pregnant women

BACKGROUND

Vaccination serves as an efficient primary means of control for infectious diseases. However, in the case of the COVID-19 pandemic, pregnant women within the United States had the lowest rates of COVID-19 vaccination and reported the lowest intent to vaccinate.

OBJECTIVES

To explore the decision-making process for COVID-19 vaccination for people pregnant during the pandemic.

DESIGN

A secondary analysis of data from a mixed-methods study that examined the impact of COVID-19 on experiences of prenatal care, birth support, and delivery in the Southern United States.

METHODS

This study used a descriptive phenomenological approach to thematically analyze in-depth interviews (n = 20) with adult women who were pregnant by January 2020 and had their prenatal care and delivery during the pandemic beginning in March 2020. The transcripts were de-identified, coded, and thematically analyzed to saturation to identify drivers of COVID-19 vaccine decision-making based on COVID-19 vaccination status and timing. Comparative analyses were conducted to assess differences in decision-making processes based on race/ethnicity and parity. Participants also completed a sociodemographic survey that included their COVID-19 vaccination status.

RESULTS

Two themes emerged, the weighing of parallel risks and priorities from different sources resulting in vaccine decisional conflict and the need to reconcile that conflict via multiple strategies. All participants weighed priorities and risks from multiple areas of their lives and described internal conflict around vaccination. Participants described tailoring decisions to household dynamics, reconciling public and private values around vaccination, and the impact of their identities on the decision-making process. While many described concerns over vaccine safety and fetal health, uniquely, many highlighted weighing the impact of prior pregnancy loss history, with some choosing other preventive measures like social distancing or mask-wearing, which they deemed less risky.

CONCLUSION

Pregnant people make complex COVID-19 vaccination decisions, which must be considered in future vaccine messaging and advocacy for this group.